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Awesome GitHub RepositoriesHigh-Performance Database Extraction

Techniques for pulling large datasets from relational databases into memory with maximum throughput.

Distinct from High-Performance Data Transfer: Shortlist candidates focus on the database systems themselves or generic file transfer, not the specific act of extracting SQL data into memory.

Explore 1 awesome GitHub repository matching data & databases · High-Performance Database Extraction. Refine with filters or upvote what's useful.

Awesome High-Performance Database Extraction GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • sfu-db/connector-xAvatar de sfu-db

    sfu-db/connector-x

    2,561Ver en GitHub↗

    Connector-X is a high-performance SQL data extraction library and bridge for transferring relational database records into memory-efficient data structures. It functions as a parallel database connector and federated query engine capable of executing and joining queries across multiple remote database connections to aggregate data locally. The project distinguishes itself through a zero-copy approach to data loading, which transfers SQL query results into memory structures without duplicating data. It maximizes throughput by partitioning SQL queries into threads, employing parallel columnar a

    Provides a high-performance method to pull large datasets from relational and analytical databases directly into memory.

    Rustcppdatabasedataframe
    Ver en GitHub↗2,561
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